Agents – xai/grok-4-fast-reasoning Task

Agents

AI agent reasoning and tool selection tests planning, tool choice, and self-diagnosis capabilities. These skills are crucial for autonomous ticket triage systems and complex agent workflows where models must decide which tools to use, plan multi-step processes, and diagnose when things go wrong. This represents some of the most challenging tasks as they require open-ended reasoning and decision-making.

Duration

14s

Input Tokens

1486

Output Tokens

305

Cost

$0.00

Context

Input

What is the complexity of this task?

Task complexity refers to how challenging a task is for the agent to complete, based on the number of steps required, the need for reasoning or coordination, and the availability of tools.

Examples:
- Easy: A small number of clear steps; dedicated tools exist; minimal reasoning needed (e.g., find tomorrow's date and query flights).
- Medium: Several steps; requires combining many outputs from multiple tools (more than 4); moderate reasoning (e.g., summarize document changes across multiple files and generate a review).
- Complex: Many steps; adaptive planning; potential missing data or tool failures; fallback strategies required (e.g., plan a multi-leg trip with hotel, flight, visa checks, and dynamic adjustments).

Please select the appropriate complexity level for this task and explain why.

Expected output

This task is **easy**. It only requires determining tomorrow’s date and querying available flights — both of which have dedicated, reliable tools. There’s minimal reasoning

Model output

Reasoning: First, I analyzed the task: Assess the complexity of the given scenario based on the provided definitions and examples. The scenario in the context is about finding flights from London to Paris for tomorrow. It involves: (1) Determining tomorrow's date using the calendar tool (already done, returning '2025-05-29'), (2) Querying the flights tool with cities and date, (3) Compiling and presenting results. This matches the 'Easy' example exactly: 'find tomorrow's date and query flights.' It requires a small number of clear steps (2-3 total), dedicated tools (calendar and flights are available and directly applicable), and minimal reasoning—no complex coordination, multiple tools beyond a couple, or adaptive planning needed. No potential for missing data or fallbacks is indicated; it's straightforward. Thus, the complexity is Easy. Explanation will cover these points.

Response: Easy

This task is Easy because it involves a small number of clear steps: retrieving the date via the calendar tool (already completed) and then querying the flights tool with the known parameters (London to Paris on 2025-05-29), followed by presenting the results. Dedicated tools exist for both date retrieval and flight searching, requiring minimal reasoning or coordination. It directly aligns with the provided example of an 'Easy' task: 'find tomorrow's date and query flights.' There are no indications of multiple tool outputs to combine extensively, adaptive planning, or handling failures.

What is the complexity of this task? Task complexity refers to how challenging a task is for the agent to complete, based on the number of steps required, the need for reasoning or coordination, and the availability of tools. Examples: - Easy: A small number of clear steps; dedicated tools exist; minimal reasoning needed (e.g., find tomorrow's date and query flights). - Medium: Several steps; requires combining many outputs from multiple tools (more than 4); moderate reasoning (e.g., summarize document changes across multiple files and generate a review). - Complex: Many steps; adaptive planning; potential missing data or tool failures; fallback strategies required (e.g., plan a multi-leg trip with hotel, flight, visa checks, and dynamic adjustments). Please select the appropriate complexity level for this task and explain why.

Reasoning: First, I analyzed the task: Assess the complexity of the given scenario based on the provided definitions and examples. The scenario in the context is about finding flights from London to Paris for tomorrow. It involves: (1) Determining tomorrow's date using the calendar tool (already done, returning '2025-05-29'), (2) Querying the flights tool with cities and date, (3) Compiling and presenting results. This matches the 'Easy' example exactly: 'find tomorrow's date and query flights.' It requires a small number of clear steps (2-3 total), dedicated tools (calendar and flights are available and directly applicable), and minimal reasoning—no complex coordination, multiple tools beyond a couple, or adaptive planning needed. No potential for missing data or fallbacks is indicated; it's straightforward. Thus, the complexity is Easy. Explanation will cover these points. Response: Easy This task is Easy because it involves a small number of clear steps: retrieving the date via the calendar tool (already completed) and then querying the flights tool with the known parameters (London to Paris on 2025-05-29), followed by presenting the results. Dedicated tools exist for both date retrieval and flight searching, requiring minimal reasoning or coordination. It directly aligns with the provided example of an 'Easy' task: 'find tomorrow's date and query flights.' There are no indications of multiple tool outputs to combine extensively, adaptive planning, or handling failures.